platform-data-explorer

A platform-exploration skill that examines a website or online service to find useful browser actions and data-extraction tasks that could become skills.

In plain words
What is it for?
Use it to inspect a platform, identify its modules and operations, assess how each could be implemented, and produce proposals for skills.
Why use it?
It turns an unfamiliar platform into a proposed list of automations, so you do not have to discover every possible workflow manually.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/clawcap/manobrowser/platform-data-explorer
Any agent
npx skills add ClawCap/ManoBrowser --skill platform-data-explorer
Clone the repo
git clone --depth 1 https://github.com/ClawCap/ManoBrowser

Made for: Claude Code, Codex.

Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,470 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00087 $0.03470
Opus 5 $0.00044 $0.01735
Sonnet 5 $0.00017 $0.00694
Haiku 4.5 $0.00009 $0.00347

Measured 2d ago against content hash e82e6c780842, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

platform-data-explorer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

platform-data-explorer/SKILL.md · 363 lines

How it starts

The opening of the file, as written. The whole thing — 363 lines — stays where its author put it; the contents beside it link to each section on GitHub.

平台探索与 Skill 发现

概述

这是一个探索型 Meta-skill:给定任意平台 URL 或功能模块,使用 DataSaver 工具系统性探索该平台,分析出可以做哪些 Skill(操作类 + 取数类),生成 Skill 提案清单供用户选择,用户确认后按类型分流调用对应的创建 skill:

  • API 取数类 → 调用 api-skill-builder(逆向 API → 生成取数 Skill)
  • 浏览器操作类 → 调用 chrome-workflow-build(执行并记录 → 生成操作 Skill)

输入:平台 URL / 模块名称 / 功能描述 输出:Skill 提案清单(含优先级、可行性评估、实现方案)

执行流程

Phase 1: 平台侦察(了解平台全貌)
    ↓
Phase 2: 功能模块发现(逐个模块探索)
    ↓
Phase 3: Skill 可行性评估(每个潜在 Skill 的技术方案)
    ↓
Phase 4: 输出提案清单(供用户确认)
    ↓
Phase 5: 用户确认后,按类型分流创建 Skill

Phase 1: 平台侦察

目标:了解平台整体结构、技术栈、主要功能模块。

Step 1.1: 打开目标页面

工具: chrome_navigate
参数:
  url: {target_url}
  active: true

⚠️ active: true 很重要,某些 SPA 平台(如灵犀)在后台标签页不加载数据。

Step 1.2: 页面结构分析

工具: chrome_get_document

观察并记录

  • 平台名称和类型(数据平台 / 内容平台 / 电商 / 工具类)
  • 技术栈(React / Vue / Angular / jQuery)
  • 导航结构(侧边栏菜单 / 顶部Tab / 面包屑)
  • 是否需要登录
  • 主要功能入口有哪些

Step 1.3: 导航菜单提取

// 提取平台的导航菜单结构
(() => {
  // 尝试多种常见导航结构
  const navSelectors = [
    'nav a', '.sidebar a', '.menu a', '.nav-item a',
    '[class*="menu"] a', '[class*="nav"] a', '[class*="sidebar"] a',
    '.ant-menu a', '.el-menu a', // Ant Design / Element UI
  ];
  const links = new Set();
  const menuItems = [];

  navSelectors.forEach(sel => {
    document.querySelectorAll(sel).forEach(a => {
      const text = a.textContent.trim();
      const href = a.getAttribute('href') || '';
      const key = text + '|' + href;
      if (text && text.length < 30 && !links.has(key)) {
        links.add(key);
        menuItems.push({ text, href, visible: a.offsetParent !== null });
      }
    });
  });

  return JSON.stringify({
    totalMenuItems: menuItems.length,
    items: menuItems.slice(0, 50)
  }, null, 2);
})()

Step 1.4: API 与资源分析

// 发现平台加载了哪些 API 和资源
(() => {
  const resources = performance.getEntriesByType('resource');
  const apis = resources
    .filter(r => r.initiatorType === 'xmlhttprequest' || r.initiatorType === 'fetch')
    .map(a => {
      const url = new URL(a.name);
      return { path: url.pathname, params: url.search.substring(0, 80) };
    });

  // 去重,按路径分组
  const apiGroups = {};
  apis.forEach(a => {
    const base = a.path.replace(/\/\d+/g, '/{id}'); // 归一化数字ID
    if (!apiGroups[base]) apiGroups[base] = { path: a.path, count: 0 };
    apiGroups[base].count++;
  });

  return JSON.stringify({
    totalAPIs: apis.length,
    uniqueAPIs: Object.keys(apiGroups).length,
    apiList: Object.values(apiGroups).slice(0, 30)
  }, null, 2);
})()

Read the full file on GitHub · 363 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 363 lines · 87 tokens per session scan A e82e6c780842

Subscribe to this mod's changes

platform-data-explorer is a skill published in the GitHub repository ClawCap/ManoBrowser (9 stars, last pushed 4mo ago), licensed MIT. It adds 87 tokens to every session and 3,470 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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